Tag: tracking
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On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization arXiv:2601.12238v1 Announce Type: new Abstract: While momentum-based acceleration has been studied extensively in deterministic optimization problems, its behavior in nonstationary environments — where the data distribution and optimal parameters drift over time — remains underexplored. We analyze the tracking performance of Stochastic Gradient Descent…
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Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking
Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking arXiv:2506.09441v1 Announce Type: new Abstract: Tracking multiple particles in noisy and cluttered scenes remains challenging due to a combinatorial explosion of trajectory hypotheses, which scales super-exponentially with the number of particles and frames. The transformer architecture has shown a significant improvement in robustness against this high combinatorial…
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Zero-Shot Player Tracking in Tennis with Kalman Filtering
Zero-Shot Player Tracking in Tennis with Kalman Filtering Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography https://medium.com/media/6f735abc63f905de122bb8a0679f97fd/href With the recent surge in sports tracking projects, many inspired by Skalski’s popular soccer tracking project, there’s been a notable shift towards using automated player tracking for sport hobbyists. Most of these approaches follow a…